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Using a distance metric on genetic programs to understand geneticoperators
O'Reilly, U.-M.  
Artificial Intelligence Lab., MIT, Cambridge, MA ;

This paper appears in: Systems, Man, and Cybernetics, 1997. 'Computational Cybernetics and Simulation'., 1997 IEEE International Conference on
Publication Date: 12-15 Oct 1997
Volume: 5,  On page(s): 4092-4097 vol.5
Meeting Date: 10/12/1997 - 10/15/1997
Location: Orlando, FL, USA
ISBN: 0-7803-4053-1
References Cited: 10
INSPEC Accession Number: 5740148
Digital Object Identifier: 10.1109/ICSMC.1997.637337
Current Version Published: 2002-08-06

Abstract
I describe a distance metric called “edit” distance which quantifies the syntactic difference between two genetic programs. In the context of one specific problem, the 6 bit multiplexor, I use the metric to analyze the amount of new material introduced by different crossover operators, the difference among the best individuals of a population and the difference among the best individuals and the rest of the population. The relationships between these data and run performance are imprecise but they are sufficiently interesting to encourage further investigation into the use of edit distance

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